先演示一下效果,再展示代码逻辑。
中间几次调用过程省略。。。
暂时只用到了下面四个项目
1.产品展示页面中第一次通过接口去获取数据库的列表数据
/// <summary> /// 获取指定的商品目录 /// </summary> /// <param name="pagesize"></param> /// <param name="pageindex"></param> /// <param name="ids"></param> /// <returns></returns> [httpget] [route("items")] [producesresponsetype(typeof(paginatedviewmodel<catalog>), statuscodes.status200ok)] [producesresponsetype(typeof(ienumerable<productdto>), statuscodes.status200ok)] [producesresponsetype(statuscodes.status400badrequest)] public async task<iactionresult> catalogs([fromquery] int pagesize = 10, [fromquery] int pageindex = 0, string ids = null) { if (!string.isnullorempty(ids)) { var items = await getitembyids(ids); if (!items.any()) { return badrequest("ids value invalid. must be comma-separated list of numbers"); } return ok(items); } var totalitems = await _catalogcontext.catalogs .longcountasync(); var itemsonpage = await _catalogcontext.catalogs .orderby(c => c.name) .skip(pagesize * pageindex) .take(pagesize) .tolistasync(); var result = itemsonpage.select(x => new productdto(x.id.tostring(), x.name, x.price.tostring(), x.stock.tostring(), x.imgpath)); var model = new paginatedviewmodel<productdto>(pageindex, pagesize, totalitems, result); return ok(model); }
2.在前端页面会把当前页面的产品列表id都发送到websocket中去
function updateandsendproductids(ids) { productids = ids; // check if the websocket is open if (socket.readystate === websocket.open) { // send the list of product ids through the websocket connection socket.send(json.stringify(productids)); } } function fetchdata() { const apiurl = baseurl + `/catalog/items?pagesize=${pagesize}&pageindex=${currentpage}`; axios.get(apiurl) .then(response => { const data = response.data.data; displayproducts(baseurl, data); const newproductids = data.map(product => product.id); // check if the websocket is open updateandsendproductids(newproductids); // 从响应中获取总页数 const totalpages = math.ceil(response.data.count / pagesize); displaypagination(totalpages); // 更新当前页数的显示 const currentpageelement = document.getelementbyid('currentpage'); currentpageelement.textcontent = `当前页数: ${currentpage + 1} / 总页数: ${totalpages}`; }) .catch(error => { console.error('获取数据失败:', error); }); }
3.websocket拿到了id数据可以精确的把当前页面的产品都查出来再推送给product.html页面,通过下面的receiveasync方法获取html发送的数据,再通过timer定时器每秒钟send方法实时的往页面发送获取到的数据,当然这个是不断的去从redis中去查的。
using system.net.websockets; using system.threading.tasks; using system; using wsserver.handler; using wsserver.manager; using stackexchange.redis; using microsoft.extensions.configuration; using system.collections.generic; using catalogs.domain.catalogs; using catalogs.domain.dtos; using system.net.sockets; namespace webscoket.server.services { /// <summary> /// 实时推送产品主要是最新的库存,其他信息也会更新 /// </summary> public class productlisthandler : websockethandler { private system.threading.timer _timer; private readonly idatabase _redisdb; //展示列表推送 private string productidsstr; public productlisthandler(websocketconnectionmanager websocketconnectionmanager,iconfiguration configuration) : base(websocketconnectionmanager) { connectionmultiplexer redis = connectionmultiplexer.connect(configuration["distributedredis:connectionstring"] ?? throw new exception("$未能获取distributedredis连接字符串")); _redisdb = redis.getdatabase(); _timer = new system.threading.timer(send, null, timespan.zero, timespan.fromseconds(1)); } private void send(object state) { // 获取当前时间并发送给所有连接的客户端 if (productidsstr != null) { string[] productids = system.text.json.jsonserializer.deserialize<string[]>(productidsstr); string hashkeytoretrieve = "products"; list<productdto> products = new list<productdto>(); foreach (var productid in productids) { if(productid == "null") { continue; } string retrievedproductvalue = _redisdb.hashget(hashkeytoretrieve, productid); if (!string.isnullorempty(retrievedproductvalue)) { //反序列化和构造函数冲突,改造了一下catalog catalog catalog = system.text.json.jsonserializer.deserialize<catalog>(retrievedproductvalue); products.add(new productdto(catalog.id.tostring(), catalog.name, catalog.price.tostring(), catalog.stock.tostring(), catalog.imgpath)); } } if (products.count > 0) { sendmessagetoallasync(system.text.json.jsonserializer.serialize(products)).wait(); } else { sendmessagetoallasync("noproduct").wait(); } } } public override async task receiveasync(websocket socket, websocketreceiveresult result, byte[] buffer) { //每次页面有刷新就会拿到展示的id列表 productidsstr = system.text.encoding.utf8.getstring(buffer, 0, result.count); } } }
4.html页面就可以拿到最新数据再去绑定到页面
socket.addeventlistener('message', (event) => { if (event.data == "noproduct") { clearproductlist(); } // handle the received product data and update the product list const productdata = json.parse(event.data); // update the product list with the received data (call your displayproducts function) displayproducts(baseurl, productdata); });
整个流程就这么简单,但是这里需要保持数据库和redis的数据实时同步,否则页面展示的就不是最新的数据就没意义了。
再回到catalog.service服务中。
private async task deletecache() { //await _redisdb.hashdeleteasync("products",id); //没必要了 await _channel.writer.writeasync("delete_catalog_fromredis"); }
再做更新、新增、删除等动作的时候就调用一下deletecache方法,往后台服务发送一个channel,当后台收到后就做redis删除并且从初始化sqlserver到redis列表同步的操作
using system.reflection; using system.threading.channels; using catalogs.infrastructure.database; using microsoft.entityframeworkcore; using microsoft.extensions.hosting; using microsoft.extensions.logging; using stackexchange.redis; namespace catalogs.webapi.backgroudservices { /// <summary> /// 记得任何删除了或者购买了产品后需要删除改产品的键 /// </summary> public class initproductlisttoredisservice : backgroundservice { private readonly iservicescopefactory _servicescopefactory; private readonly idatabase _redisdb; private readonly channel<string> _channel; private readonly ilogger _logger; public initproductlisttoredisservice(iservicescopefactory servicescopefactory, iconfiguration configuration, channel<string> channel, ilogger<initproductlisttoredisservice> logger) { _servicescopefactory = servicescopefactory; connectionmultiplexer redis = connectionmultiplexer.connect(configuration["distributedredis:connectionstring"] ?? throw new exception("$未能获取distributedredis连接字符串")); _redisdb = redis.getdatabase(); _channel = channel; _logger = logger; } protected override async task executeasync(cancellationtoken stoppingtoken) { await init(); while (!_channel.reader.completion.iscompleted) { var msg = await _channel.reader.readasync(); if(msg == "delete_catalog_fromredis") { await init(); } } } private async task init() { using var scope = _servicescopefactory.createscope(); try { catalogcontext _context = scope.serviceprovider.getrequiredservice<catalogcontext>(); string hashkey = "products"; var products = await _context.catalogs.tolistasync(); await _redisdb.keydeleteasync(hashkey); foreach (var product in products) { string productfield = product.id.tostring(); string productvalue = system.text.json.jsonserializer.serialize(product); _redisdb.hashset(hashkey, new hashentry[] { new hashentry(productfield, productvalue) }); } _logger.loginformation($"productlist is over stored in redis hash."); } catch(exception ex) { _logger.logerror($"productlis stored in redis hash error."); } } } }
这里还有优化的空间可以只针对怕products的hashset的某个id去更新、删除、新增一条数据。
示例代码:
liuzhixin405/efcore-template (github.com)
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